Estimating irrigation water use for maize in the Southeastern USA: A modeling approach
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DOI: 10.1016/j.agwat.2012.01.015
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- Nuti, R.C. & Lamb, M.C. & Sorensen, R.B. & Truman, C.C., 2009. "Agronomic and economic response to furrow diking tillage in irrigated and non-irrigated cotton (Gossypium hirsutum L.)," Agricultural Water Management, Elsevier, vol. 96(7), pages 1078-1084, July.
- Nijbroek, Ravic & Hoogenboom, Gerrit & Jones, James W., 2003. "Optimizing irrigation management for a spatially variable soybean field," Agricultural Systems, Elsevier, vol. 76(1), pages 359-377, April.
- Garrison, M. V. & Batchelor, W. D. & Kanwar, R. S. & Ritchie, J. T., 1999. "Evaluation of the CERES-Maize water and nitrogen balances under tile-drained conditions," Agricultural Systems, Elsevier, vol. 62(3), pages 189-200, December.
- Ruiz-Nogueira, B. & Boote, K. J. & Sau, F., 2001. "Calibration and use of CROPGRO-soybean model for improving soybean management under rainfed conditions," Agricultural Systems, Elsevier, vol. 68(2), pages 151-173, May.
- Guerra, L.C. & Garcia y Garcia, A. & Hook, J.E. & Harrison, K.A. & Thomas, D.L. & Stooksbury, D.E. & Hoogenboom, G., 2007. "Irrigation water use estimates based on crop simulation models and kriging," Agricultural Water Management, Elsevier, vol. 89(3), pages 199-207, May.
- K.J. Boote & J.W. Jones & G. Hoogenboom & J.W. White, 2010. "The Role of Crop Systems Simulation in Agriculture and Environment," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 1(1), pages 41-54, January.
- Garcia y Garcia, Axel & Guerra, Larry C. & Hoogenboom, Gerrit, 2008. "Impact of generated solar radiation on simulated crop growth and yield," Ecological Modelling, Elsevier, vol. 210(3), pages 312-326.
- Mullen, Jeffrey D. & Yu, Yingzhuo & Hoogenboom, Gerrit, 2009. "Estimating the demand for irrigation water in a humid climate: A case study from the southeastern United States," Agricultural Water Management, Elsevier, vol. 96(10), pages 1421-1428, October.
- Hook, James E., 1994. "Using crop models to plan water withdrawals for irrigation in drought years," Agricultural Systems, Elsevier, vol. 45(3), pages 271-289.
- Persson, Tomas & Garcia y Garcia, Axel & Paz, Joel & Jones, Jim & Hoogenboom, Gerrit, 2009. "Maize ethanol feedstock production and net energy value as affected by climate variability and crop management practices," Agricultural Systems, Elsevier, vol. 100(1-3), pages 11-21, April.
- Panda, R. K. & Behera, S. K. & Kashyap, P. S., 2004. "Effective management of irrigation water for maize under stressed conditions," Agricultural Water Management, Elsevier, vol. 66(3), pages 181-203, May.
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Cited by:
- Fan, Yubing & McCann, Laura M., 2017. "Farmers’ Adoption of Pressure Irrigation Systems and Scientific Scheduling Practices: An Application of Multilevel Models," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258458, Agricultural and Applied Economics Association.
- Phetheet, Jirapat & Hill, Mary C. & Barron, Robert W. & Gray, Benjamin J. & Wu, Hongyu & Amanor-Boadu, Vincent & Heger, Wade & Kisekka, Isaya & Golden, Bill & Rossi, Matthew W., 2021. "Relating agriculture, energy, and water decisions to farm incomes and climate projections using two freeware programs, FEWCalc and DSSAT," Agricultural Systems, Elsevier, vol. 193(C).
- Boyer, Christopher N. & Larson, James A. & Roberts, Roland K. & McClure, Angela T. & Tyler, Donald D., 2014. "The impact of field size and energy cost on the profitability of supplemental corn irrigation," Agricultural Systems, Elsevier, vol. 127(C), pages 61-69.
- Pilar Benito-Verdugo & José Martínez-Fernández & Ángel González-Zamora & Laura Almendra-Martín & Jaime Gaona & Carlos Miguel Herrero-Jiménez, 2023. "Impact of Agricultural Drought on Barley and Wheat Yield: A Comparative Case Study of Spain and Germany," Agriculture, MDPI, vol. 13(11), pages 1-20, November.
- Boyer, Christopher N. & Larson, James A. & Roberts, Roland K. & McClure, Angela T. & Tyler, Donald D. & Smith, S. Aaron, 2014. "Probability of Irrigated Corn Being Profitable in a Humid Region," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162470, Southern Agricultural Economics Association.
- Fan, Yubing & Massey, Raymond E. & Park, Seong C., 2017. "Multicrop Production Decisions and Economic Irrigation Water Use Efficiency: Effects of Water Costs, Pressure Irrigation Adoption and Climate Determinants," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258561, Agricultural and Applied Economics Association.
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Keywords
Decision Support Systems; DSSAT; Crop simulation models; Water use; Irrigated maize;All these keywords.
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